Azure/GPT-RAG

What it solves

It provides an enterprise-grade accelerator for building secure, scalable, and production-ready agentic RAG (Retrieval-Augmented Generation) solutions. It addresses the complexity of deploying these systems in corporate environments by providing architecture templates and deployment assets that prioritize Zero-Trust security and Responsible AI.

How it works

The solution uses the Microsoft Agent Framework for orchestration and Foundry IQ as the primary retrieval backend. Foundry IQ aggregates data from multiple sources—including Blob storage, Azure AI Search, SharePoint, OneLake, and MCP sources—while applying permission trimming to ensure data security. The architecture is built on a Zero-Trust model where network access is strictly governed and services follow least-privilege principles.

Who it’s for

Organizations looking to deploy enterprise-level AI agents that can process complex queries across large, fragmented data collections while maintaining strict security and compliance standards.

Highlights

• Multi-source grounding: Integrates data from Azure AI Search, SharePoint, OneLake, Web, and MCP servers.
• Zero-Trust Architecture: Implements isolated environments and tight network governance.
• Agentic Capabilities: Supports advanced workflows like NL2SQL query generation and tool integration.
• Enterprise Readiness: Includes deployment assets for basic, Zero Trust, and network-isolated setups with end-to-end observability.